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Article . 1992
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SIAM Journal on Matrix Analysis and Applications
Article . 1992 . Peer-reviewed
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Article . 2023
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Parallel Solution of Large Lyapunov Equations

Parallel solution of large Lyapunov equations
Authors: Alan Scottedward Hodel; Kameshwar Poolla;

Parallel Solution of Large Lyapunov Equations

Abstract

The solution of large-order (\(100\leq n\leq 1000\)) Lyapunov equations \(AX+XA^ T+Q=0\) is considered. A parallel version of the Hammarling algorithm [cf. \textit{S. J. Hammerling}, IMA J. Numer. Anal. 2, 303-323 (1982; Zbl 0492.65017)] for large and dense \(A\) and a novel iterative parallel algorithm, called full-rank perturbed iteration (FRPI), for large and banded \(A\) are presented.

Keywords

Iterative numerical methods for linear systems, Numerical optimization and variational techniques, Other matrix algorithms, Matrix equations and identities, Parallel numerical computation, Lyapunov and other classical stabilities (Lagrange, Poisson, \(L^p, l^p\), etc.) in control theory, full-rank perturbed iteration, direct methods, Lyapunov equations, iterative parallel algorithm, banded systems, iterative methods, Hammarling algorithm

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Average
Top 10%
Top 10%
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